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. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate
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health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g
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disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state
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Practitioners : Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings; 3) Translation to Real-World
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to ensure the application of best practices. Job Requirements: PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field
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can achieve in medical science. Ideal candidates will be eager to work collaboratively with biomedical researchers, bringing a passionate commitment to using AI to advance human health and save lives
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computational algorithms to decode the comprehensive interactions between microbiome and metabolites/proteins, and how they affect human health. As a Research Assistant/Associate, you will play a pivotal role in
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to Clinic & Pedagogy, Empowering Practitioners : Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings; 3
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Practitioners : Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings; 3) Translation to Real-World
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with the lead PI on an exploration of the impact of marine alkalinity and geochemistry on the ecological health of coastal environments, in the context of modified desalination brines’ environmental